Driven by the continuous search for improving performances, understanding the
phenomena at the electrode/electrolyte interfaces has become an overriding factor for the …

Temperature heavily affects the behavior of any energy storage chemistries. In particular,
lithium-ion batteries (LIBs) play a significant role in almost all storage application fields …

Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation
and energy storage industries, to improve performance and safety and reduce warranty …

The maximum energy that lithium-ion batteries can store decreases as they are used
because of various irreversible degradation mechanisms. Many models of degradation have …

Lithium-ion batteries (LIBs) based on olivine LiFePO 4 (LFP) offer long cycle/calendar life
and good safety, making them one of the dominant batteries in energy storage stations and …

The objective of this study involves investigation and simulation on thermal performance of
water-cooled lithium-ion battery cell and pack used in electric vehicles at high discharge rate …

Accurate state of health estimation and end of life prediction is critical for safe and reliable
operation of lithium-ion batteries. This paper proposes a deep Gaussian process algorithm …

This paper presents a comprehensive calendar aging study on a lithium-ion battery with a
test duration of 29 months. This aging study was realized with a widely used commercial …

This paper presents cycle aging results of a commercial lithium-ion cell from a
comprehensive, 29 month aging study and follows up on calendar aging results published …

For reliable lifetime predictions of lithium-ion batteries, models for cell degradation are
required. A comprehensive semi-empirical model based on a reduced set of internal cell …